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Computer Science Internship No Experience Jobs in Layton, UT

Weber State University

BTS Arts Internship

Ogden, UT · On-site

$15/hr

Position Information Position Title BTS Arts Internship Requisition Number H00824P Position ... Preferred Qualifications Teaching experience. Background Check? No Posting Detail Information Job ...

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Computer Science Internship No Experience information

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How much do computer science internship no experience jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computer science internship no experience in Layton, UT is $40,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,433.00 and $43,296.00 per year, depending on experience, location, and employer.

What is a computer science internship no experience?

A Computer Science Internship with no experience is an entry-level opportunity for students or beginners to gain hands-on experience in the field. These internships typically involve tasks like coding, debugging, software testing, and assisting with projects under the guidance of experienced professionals. Employers expect candidates to have basic programming knowledge, problem-solving skills, and a willingness to learn. It's a great way to build your resume, gain industry exposure, and develop practical skills for future job opportunities.

What types of projects or tasks can I expect to work on as a computer science intern with no prior experience?

As a Computer Science Intern without previous work experience, you'll typically assist with entry-level programming, debugging, or testing tasks under the guidance of experienced team members. You may also help maintain documentation, participate in group code reviews, or contribute to research and development projects. Interns often collaborate closely with engineers and fellow interns, providing a supportive environment for learning industry best practices. These responsibilities are designed to help you build practical skills and gain real-world exposure, setting a strong foundation for future career growth in tech.

What are the key skills and qualifications needed to thrive in a computer science internship with no prior experience?

To thrive as a Computer Science Intern with no prior experience, you should have a basic understanding of programming concepts, problem-solving abilities, and a willingness to learn, often gained through coursework or personal projects. Familiarity with languages like Python or Java, version control tools such as Git, and exposure to basic software development environments are typically beneficial. Strong communication, teamwork, and time management skills set candidates apart by enabling effective collaboration and adaptability. These skills and qualities are crucial as they help interns quickly integrate into tech teams and contribute meaningfully to ongoing projects.

What job categories do people searching Computer Science Internship No Experience jobs in Layton, UT look for?

The top searched job categories for Computer Science Internship No Experience jobs in Layton, UT are:

What cities near Layton, UT are hiring for Computer Science Internship No Experience jobs?

Cities near Layton, UT with the most Computer Science Internship No Experience job openings:

Computer Science Internship No Experience jobs near you
Infographic showing various Computer Science Internship No Experience job openings in Layton, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $40,227 per year, or $19.3 per hour.

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • Remote

Other

Re-posted 22 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.


About the Role:

We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.


We strongly encourage candidates with non-traditional backgrounds to apply. If your path into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you.


What You'll Be Doing:

  • Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
  • Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
  • Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
  • Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
  • Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.


What We're Looking For:

  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with deep learning serving (TorchServe, Triton, vLLM, or equivalent).
  • Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring.
  • Ability to reason about tradeoffs between latency, throughput, cost, and model quality.


Bonus Points For:

  • Experience serving large language models or other generative models at scale.
  • Familiarity with audio/music processing pipelines and real-time inference constraints.
  • Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
  • Contributions to open-source ML infrastructure projects.


Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.


We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.